Executive Compensation Data Scraper avatar
Executive Compensation Data Scraper

Pricing

Pay per usage

Go to Apify Store
Executive Compensation Data Scraper

Executive Compensation Data Scraper

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Fortuitous Pirate

Fortuitous Pirate

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

Categories

Share

Executive Compensation Scraper

Scrapes executive compensation data from SEC DEF 14A proxy filings.

What it does

  1. Takes a list of stock tickers and years
  2. Finds DEF 14A proxy filings on SEC EDGAR
  3. Extracts the Summary Compensation Table
  4. Returns structured executive compensation data

Input

{
"tickers": ["AAPL", "MSFT", "GOOGL"],
"years": [2023, 2024]
}
ParameterTypeRequiredDescription
tickersarrayYesStock ticker symbols
yearsarrayYesFiscal years to scrape

Output

Each record contains:

{
"ticker": "AAPL",
"company_name": "Apple Inc.",
"cik": "0000320193",
"fiscal_year": 2024,
"filing_date": "2024-01-05",
"executive_name": "Timothy D. Cook",
"executive_title": "CEO",
"salary": 3000000,
"bonus": 0,
"stock_awards": 40000000,
"option_awards": 0,
"non_equity_incentive": 6000000,
"deferred_comp": 0,
"other_comp": 1500000,
"total_comp": 50500000,
"source_url": "https://www.sec.gov/..."
}

Usage

# Install dependencies
npm install
# Run locally
echo '{"tickers": ["AAPL"], "years": [2024]}' > storage/key_value_stores/default/INPUT.json
apify run
# View results
cat storage/datasets/default/*.json | jq '.'

Data Source

All data comes from SEC EDGAR public filings (no proxy needed).